Artificial Intelligence (AI) Fundamentals & Prompt Engineering

DAY 1: Introduction to Artificial Intelligence

Topics:

•             What is Artificial Intelligence?

•             Why AI is important today

Subtopics:

•             Definition of AI

•             Human Intelligence vs Machine Intelligence

•             Examples of AI in daily life (Google, YouTube, mobile phones)

Activity:

•             List 5 AI-powered apps you use daily

DAY 2: History & Evolution of AI

Topics:

•             How AI started

•             Growth of AI over time

Subtopics:

•             Brief history of AI

•             From simple machines to smart systems

•             Major milestones in AI development

Activity:

•             Create a simple AI timeline

•             timeline

DAY 3: Types of Artificial Intelligence

Topics:

•             Classification of AI

Subtopics:

•             Narrow AI (Weak AI)

•             General AI

•             Super AI

•             Real-life examples of each type

Activity:

•             Match AI examples with AI types

DAY 4: How AI Works (Basic Understanding)

Topics:

•             Core idea behind AI working

Subtopics:

•             Data → Rules → Output

•             What is training data?

•             Why data is important for AI

DAY 5: Introduction to Data

Topics:

•             What is data?

Subtopics:

•             Types of data (text, image, video, numbers)

•             Structured vs Unstructured data

•             Role of data in AI

Activity:

•             Collect and classify sample data

•             Me

DAY 6: AI vs Human Intelligence

Topics:

•             Comparison between humans and AI

Subtopics:

•             Strengths of humans

•             Strengths of AI

•             Limitations of AI

DAY 7: Introduction to Machine Learning

Topics:

•             What is Machine Learning?

Subtopics:

•             Learning from data

•             AI vs Machine Learning

•             Examples: Netflix, YouTube recommendations

Activity:

•             Explain recommendation systems in simple words

DAY 8: Deep Learning (High-Level Only)

Topics:

•             What is Deep Learning?

Subtopics:

•             Neural networks (simple explanation)

•             Human brain vs computer

•             Image and voice recognition

Activity:

•             Image recognition explanation demo

•             Image recognition explanation demo

DAY 9: AI in Real-Life Applications

Topics:

•             Where AI is used today

Subtopics:

•             AI in education

•             AI in healthcare

•             AI in banking

•             AI in social media and games

DAY 10: AI Tools Awareness (No Coding)

Topics:

•             Popular AI tools

Subtopics:

•             Chatbots

•             Image generators

•             Voice assistants

•             AI in mobile applications

Activity:

•             Tool demonstration and discussion

DAY 11: Ethics, Risks & Future of AI

Topics:

•             Responsible use of AI

Subtopics:

•             Bias in AI

•             Privacy and data security

•             Job replacement myths

•             Future scope of AI

Activity:

Ethical scenario discussion

???? DAY 12: AI Fundamentals & Prompt Engineering + Final Assessment

Topics:

•             AI fundamentals revision

•             Introduction to Prompt Engineering

Subtopics:

•             What is a prompt?

•             Why prompts matter in AI

•             Good vs bad prompts

•             Simple prompt examples for chatbots & image tools

•             AI career awareness

Activity:

•             Write simple prompts and observe AI responses

•             Mini presentation / quiz

After completing this course, students will be able to:

• Understand core concepts of Artificial Intelligence
• Identify AI applications in daily life
• Explain the difference between AI, Machine Learning, and Deep Learning
• Understand how data is used to train AI systems
• Use AI tools responsibly and ethically
• Write simple and effective prompts for AI tools

Name: Vandana Patel

Mobile No: 9009620154

Email:

• What is the Artificial Intelligence (AI) Fundamentals & Prompt Engineering course about?

• Who can enroll in this course?

• Is prior knowledge of AI or programming required?

• What is Prompt Engineering?

• What topics are covered in this course?

• How will this course benefit students and faculty?

• Is the course theoretical or practical?

• Will a certificate be provided after completion?

• How can AI and prompt engineering be used in academics and daily tasks?

• Where can the skills learned in this course be applied?